2 years ago

Artificial intelligence (AI) solutions provider https://www.stormforge.io/ says it offers a very practical solution to solve an enormously complex problem as organizations are not only challenged by managing Kubernetes environments at scale but they also must interpret the massive amounts of observability data they must process to make key decisions. Optimize Live does this by analyzing existing observability data using ML to recommend real-time configuration changes that reduce resource usage and cost while ensuring application performance.

“Once you put the code in production, Optimize Live just constantly watches the observability data, detects when it’s time to make changes, makes the recommendations and then applies them,” Bentley said.

Optimizer Live’s ML algorithms process observability data from Kubernetes environments and provide actionable results on an ongoing basis, as resource allocation and other decisions will change as operations are altered or scaled.

StormForge can be integrated with DataDog and Prometheus, and will shortly be able to accommodate Dynatrace observability tools.